摘要：
Given a graph G = (V, E) and an originator vertex v, broadcasting is an information disseminating process of transmitting a message from the vertex v to all vertices of the graph G as quickly as possible. A graph G on n vertices is called broadcast graph if the broadcasting from any vertex in the graph can be accomplished in inverted right perpendicular log n inverted left perpendicular time. A broadcast graph with the minimum number of edges is called minimum broadcast graph. The number of edges in a minimum broadcast graph on n vertices is denoted by B(n). A long sequence of papers present different broadcast graph constructions and upper bounds on B(n). In this paper, we improve the compounding method and construct new broadcast graphs with a better upper bound on B(n). Consequently, we show that B(n) <= (m - k + 1)n - (2(m-k+1) - 2)(m - 2q + 1)2(q-1) for n is an element of [2(m-1) + 1, 2(m) - 2 (m/2+1)], where n = 2(m) - 2(k) - d, m >= 5, 2 <= k <= m - 2, 0 <= d <= 2(k) - 1, and q <= min(left perpendicular m-2/2 right perpendicular k - 2). (C) 2018 Elsevier B.V. All rights reserved.
会议名称：
11th International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR) - Parallel Processing of Images and Optimization Techniques; and Medical Imaging
会议时间：
NOV 02-03, 2019
会议地点：
Wuhan, PEOPLES R CHINA
会议主办单位：
[Yang, Minjun;Hong, Juan;Tang, Xiaoyue;Lee, Yaqin] Wuhan Polytech Univ, Sch Math & Comp Sci, Wuhan, Hubei, Peoples R China.
会议论文集名称：
Proceedings of SPIE
关键词：
Median Filter;Morphology;Gaussian Smoothing;Refinement algorithm;Detect Lumbar Disc Degeneration
摘要：
Recently, diagnosis, therapy and monitoring of human diseases involve a variety of imaging modalities, such as magnetic resonance imaging (MRI), computed tomography (CT), Ultrasound (US) and Positron-emission tomography (PET) as well as a variety of modern optical techniques. The degeneration of lumbar intervertebral disc has become a common disease in modern society. Currently, the most commonly used method is the diagnostic grade based on MRI technology, among which Pfinmann grading system is most widely used in clinic. The Pfinmann grading system is mainly based on the measurement of the average height of the lumbar intervertebral disc and the intensity of the signal of the nucleus pulposus and the inner and outer edge of the fiber ring in MR images. With the degeneration of the intervertebral disc, the signal of the inner and outer edge of the annulus also decreases, so the error caused by the method of measuring the average height of the lumbar intervertebral disc is larger. Therefore, we proposed an algorithm based on morphology to detect lumbar intervertebral disc in MRI spinal images. First, the median filter is used to remove noise in MRI and then the lumbar intervertebral disc is extracted through morphological processing. Then, the image is smoothed by combining with gaussian filtering. Finally, the result map of lumbar intervertebral disc is obtained and its area is calculated. In the analysis and comparison of the detection results of the lumbar intervertebral disc, the skeleton extraction diagram of the detection results of the lumbar intervertebral disc was obtained after processing the image of the detection results of the lumbar intervertebral disc with the thinning algorithm. According to the analysis, the degree of laminar disc skeleton and upper and lower vertebral body is as high as 90%. This paper also briefly introduces the application direction of this measurement algorithm in medicine: 1. Improve doctors' ability to detect early lumbar disc degeneration. 2. Assist doctors to observe postoperative recovery of patients.
通讯机构：
[Zhou, Kang] W;Wuhan Polytech Univ, Sch Dept Math & Comp, Wuhan 430023, Peoples R China.
会议名称：
7th Asian Conference on Membrane Computing (ACMC)
会议时间：
DEC 10-14, 2018
会议地点：
Univ Auckland, Auckland, NEW ZEALAND
会议主办单位：
Univ Auckland
关键词：
Weighted spiking neural P systems;rules on synapses;RSA algorithm;large integers
摘要：
RSA algorithm is one of the most widely used public key encryption algorithm. Breaking RSA encryption is considered very difficult and is well-known as RSA problem. The difficulty of this problem lies in prime factorization of large integers. In this paper, we introduce the idea of factorizing large integers to break RSA encryption using weighted spiking neural P systems with rules on synapses. Moreover, parallelism of weighted spiking neural P systems with rules on synapses allows the system to perform a space-time trade-off, and it helps the system to factorize large integers in linear time.
会议名称：
11th International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR) - Automatic Target Recognition and Navigation
会议时间：
NOV 02-03, 2019
会议地点：
Wuhan, PEOPLES R CHINA
会议主办单位：
[Xu, Xiangrui;Li, Yaqin;Gao, Yunlong;Yuan, Cao] Wuhan Polytech Univ, Sch Math & Comp Sci, Wuhan, Hubei, Peoples R China.
会议论文集名称：
Proceedings of SPIE
关键词：
Deep neural network;identity number (ID);Ownership verification
摘要：
Amid the maturity of machine learning, deep neural networks are gradually applied in the business sector rather than be restricted in the laboratory. However, its intellectual property protection encounters a significant challenge. In this paper, we aim at embedding a unique identity number (ID) to the deep neural network for model ownership verification. To this end, a scheme of generating DNN ID is proposed, which is the criterion for model ownership verification. After embedding, the model can complete the original performance and own a unique ID of this model as well. DNN ID can only be generated by the owner to check the model authorship. We evaluate this method on MNIST. Experiment results demonstrate that the DNN ID can accurately verify the ownership of our trained model.
摘要：
The residential building is the most frequently used place for people. How to plan a modern residential district is an important issue that contemporary architects must study carefully. This paper takes Youngor International Garden in Suzhou as an example to make a detailed analysis of the planning and design of the modern high-rise residential district. The research includes the planning concept, landscape design, architectural design, and so on. The purpose of this paper is to summarize the methods of the residential district planning and design and provide a reference for other similar projects. This research has used the case analysis method. Generally speaking, successful residential district planning and design should start from the needs of human, deal with the relationship between man, architecture and nature, and create a green living environment. In addition, the design should pay attention to absorbing the essence of traditional residential buildings too.
摘要：
When the model begins a new task, the challenge of naming the "catastrophic forgetting" limits the scalability of the deep learning network, which quickly forgets the learning capabilities it has. The fine-tuning method recommends that the original feature extraction be retained to extract the features of the new task and to achieve the purpose of learning the new class. However, this method degrades performance on previously learned tasks because the shared parameters change without new guidance for the original task-specific prediction parameters. This paper proposes general fine-tune method to reduce catastrophic forgetting in sequential task learning scenarios. The critical idea of the method is fine-tuning the parameters in each layer, unlike the traditional fine tuning only for the last layer. The experimental results show that the new method is superior to fine-tune, in the accuracy of the old task and the performance of the new task is better than that of the EWC. A distinct advantage is that old tasks do not limit the performance of new tasks but provide some support for new tasks.
摘要：
Gaussian mixture model (GMM) can estimate not only the abundances and distribution parameters but also distinct end-member set for each pixel. However, the traditional GMM unmixing model only has proper smoothness and sparsity prior constraints on the abundances and thus cannot excavate the local spatial information in hyperspectral image (HSI). Thus, we propose a new unmixing method with superpixel segmentation (SS) and low-rank representation (LRR) based on GMM called GMM-SS-LRR, which can consider the local spatial correlation of HSI. First, we adopt the principal component analysis (PCA) to obtain the first principal component of HSI, which contains the most information for the entire HSI. Then, we adopt the SS in the first principal component of HSI to obtain the homogeneous regions, and the abundances in each homogeneous region have the underlying low-rank property. Finally, we unmix the pixels in each homogeneous region of HSI depending on the low-rank property of abundances. Experiments on synthetic datasets and real HSIs demonstrate that the proposed GMM-SS-LRR is efficient compared with other current popular methods.
摘要：
Aiming at the problems of poor quality stability and high working intensity of workers and low degree of mechanical automation caused by the traditional control system of Screw extruder which relies on manual adjustment of feeding motor speed, this paper proposes an intelligent control system of Screw extruder based on fuzzy control algorithm. The temperature and pressure signals of oil press chamber are used as the detection method, and the expert control experience is simulated by the fuzzy control algorithm to realize automatic control of oil press motor speed. The system uses PLC as the central controller to complete the design of the control system and uses MATLAB to carry out the model and simulation tests. According to the simulation results, the intelligent Screw extruder based on fuzzy control algorithm has better control effect and stability, and better replace the manual operation of the control process relatively.
摘要：
To verify whether the results of rapid thermal fatigue of solder joint are consistent with that of the conventional fatigue method, the repeated thermal cycling condition of alternating temperature should be created. In this paper, an experiment, which heat rapidly a metal boss under the single solder joint in 10 seconds by the induced eddy current effect of electromagnetic field and then stop to heat it at the same time in sequence, was implemented. That is to say, the single solder joint above the boss was heated and cooled through heat conduction of the boss where the heat quantity is generated by the electromagnetic induction heating. The condition of rapid thermal cycle was realized by this method. When the single solder joint was subjected to rapid thermal cycling, the interfacial microstructure between the solder ball and Cu substrate was observed and analyzed by SEM. The results indicated that this method supplying rapid heat source by induction heating is feasible to investigate the rapid thermal fatigue behavior of single solder joint. This method can provide more experience for fatigue failure to effectively improve the reliability of the electronic packaging devices.
会议名称：
Grand Challenges in Immunology: Immunotherapy for Cancer and Beyond——The 2nd CMI-NI Joint Conference
会议时间：
2019-06-11
会议地点：
中国山东青岛
会议论文集名称：
Grand Challenges in Immunology: Immunotherapy for Cancer and Beyond——Abstracts of the 2nd CMI-NI Joint Conference
关键词：
metabolism resonance;immunity resonance
摘要：
In the era of-omics, I define the metabolism resonance spectrum and immunity resonance spectrum. Metabolism resonance spectra focus on the metabolic pattern and comparative and/or dynamic responses of biomaterials to perturbations（Zhao X.J. 2011）; Nuclear Magnetic Resonance spectra underline amino acids, organic acids, nucleotides, etc; Electron Paramagnetic Resonance spectra emphasize free radicals and transition metal ions; Magnetic Resonance Imaging spectra underline spatial distribution of metabolites. Similarly, immunity resonance spectra explore the immune pattern and comparative and/or dynamic responses between immune organs and metabolic organs（Zhao X.J. 2019）; resonance of professional immunity and regional immunity, resembles NMR; resonance of professional immunity and non-regional immunity, resembles EPR; distribution and flux of immune factors, resembles MRI and metabolic flux.
